Outlier [index]
Outlier [index]
Mathematics [math]
Mathematics [math]
Courses [courses]
Courses [courses]
MATH111C Abstract Algebra [111c]
MATH111C Abstract Algebra [111c]
Lecture 1. Field extensions [l1]
Lecture 1. Field extensions [l1]
Definition 1.1. field extension [1201]
Definition 1.1. field extension [1201]
Let $F$ be a field. A field containing $F$ is called a field extensions of $F$ or an extension of $F$.
When considering field extensions of $F$, the field $F$ is sometimes called the base field.
Example 1.2. examples from characteristics [1202]
Example 1.2. examples from characteristics [1202]
- Every field of characteristic $0$ is a field extension of $\mathbb{Q}$.
- Every field of characteristic $p$ is a field extension of $\mathbb{F}_{p}$.
Definition 1.3. degree of field extensions [1203]
Definition 1.3. degree of field extensions [1203]
Example 1.4. complex and real numbers, rationals and polynomials [1204]
Example 1.4. complex and real numbers, rationals and polynomials [1204]
- $\mathbb{C}$ is a field extension of $\mathbb{R}$ and $[\mathbb{C} : \mathbb{R}] = 2$.
- $\mathbb{R}$ is a field extension of $\mathbb{Q}$ and $[\mathbb{R} : \mathbb{Q}] = \infty$.
- Let $F$ be a field and $p(x)$ be an irreducible polynomial of degree $\geq 1$ in $F[x]$. Then $K = F[x] / (p(x))$ is a field extension of $F$ and $[K : F] = \deg p(x)$.
- $F = \mathbb{Q}, p(x) = x^{2} - 2, K = \mathbb{Q}[x] / (x^{2} - 2)$. Then $K \cong \mathbb{Q}[\sqrt{ 2 }] = \{ a + b\sqrt{ 2 } \mid a, b \in \mathbb{Q} \}$.
- $[\mathbb{F}_{p}(t), \mathbb{F}_{p}] = \infty$. $1, t, t^{2}, \dots, t^{n}, \dots$ are linearly independent over $\mathbb{F}_{p}$, so $\dim_{\mathbb{F}_{p}}\mathbb{F}_{p}(t) = \infty$.
Remark 1.5. [1205]
Remark 1.5. [1205]
Theorem 1.6. [1206]
Theorem 1.6. [1206]
Let $F$ be a field and $p(x)$ be an irreducible polynomial in $F[x]$. Then
- $K = F[x] / (p(x))$ is a field extension of $F$,
- $\theta = \overline{x} \in K$ is a root of $p(x)$ in $K$,
- $[K : F] = \deg p(x)$. Let $n = \deg p(x)$. Then $$1, \theta, \theta^{2}, \dots, \theta^{n-1}$$ is a basis of $K$ as an $F$-vector space. (Hence, $K = \{ a_{0} + a_{1} \theta + \cdots + a_{n-1}\theta^{n-1} \mid a_{0}, \dots, a_{n-1} \in F\}$.)
Theorem 1.7. [1207]
Theorem 1.7. [1207]
Let $F \subseteq K \subseteq L$ be fields. Then $[L:F]$ is finite if and only if $[L:K]$ and $[K:F]$ are both finite, and $$ [L:F] = [L : K][K : F]. $$
When $[L : F] = \infty$, at most one of $[L:K]$ and $[K:F]$ can be finite. For example, $[\mathbb{C} : \mathbb{Q}] = \infty$ and $[\mathbb{R} : \mathbb{Q}] = \infty$ while $[\mathbb{C} : \mathbb{R}] = 2 < \infty$.
Lecture 2. The subfield generated by a subset and simple extensions [l2]
Lecture 2. The subfield generated by a subset and simple extensions [l2]
From this definition, it is hard to compute $F(S)$ because there might be infinite subfields containing $F$ and $S$. So we need a workaround to get $F(S)$.
We know that taking field of fractions gives us a field, if we consider each element of $F(S)$ as a fraction of elements, what do we know about these elements?
- They must belong to an integral domain.
- They must be composed of elements from $F$ and $S$.
Interestingly, $K$ is a field, so taking fractions of elements from $S$ simply brings another element of $K$, and it also belongs to a subfield of $K$ containing $S$. Actually, to construct a subfield of $K$ containing $S$, we first need to take multiples of any elements of $S$, then take inverses of those multiples, next, take multiples of those inverses and elements of $S$.
Remember that the needed subfields also contain $F$, given a subfield containing $S$, how do we enlarge it so it contains $F$, too? Well, simply multiplying every element by elements of $F$ and taking sums of those multiples is a good way. Recall that $\operatorname{Frac}(F) = F$, hence we have the following proposition:
Lecture 3. Algebraic extensions [l3]
Lecture 3. Algebraic extensions [l3]
MATH118C Real Analysis [118c]
MATH118C Real Analysis [118c]
Lecture 1. Sequences and series of functions [l1]
Lecture 1. Sequences and series of functions [l1]
Theorem 1.1. uniform convergence allows switching limits [br711]
Theorem 1.1. uniform convergence allows switching limits [br711]
Suppose $f_{n} \to f$ uniformly on a set $E$ in a metric space. Let $x$ be a limit point of $E$, and suppose that $$ \lim_{ t \to x } f_{n}(t) = A_{n} \quad (n = 1, 2, 3, \dots). $$ Then $\{ A_{n} \}$ converges, and $$ \lim_{ t \to x } f(t) = \lim_{ n \to \infty } A_{n}. $$ In other words, the conclusion is that $$ \lim_{ t \to x } \lim_{ n \to \infty } f_{n}(t) = \lim_{ n \to \infty } \lim_{ t \to x } f_{n}(t). $$
An immediate corollary follows:
Theorem 1.2. uniform convergence of continuous fns implies continuity of the limit fn [br712]
Theorem 1.2. uniform convergence of continuous fns implies continuity of the limit fn [br712]
If $\{ f_{n} \}$ is a sequence of continuous functions on $E$, and if $f_{n} \to f$ uniformly on $E$, then $f$ is continuous on $E$.
Definition 1.3. equicontinuous [br722]
Definition 1.3. equicontinuous [br722]
A family $\mathscr{F}$ of complex functions $f$ defined on a set $E$ in a metric space $X$ is said to be equicontinuous on $E$ if for every $\epsilon > 0$, there exists a $\delta > 0$ such that $$ \lvert f(x) - f(y) \rvert < \epsilon $$ whenever $d(x, y) < \delta, x \in E, y \in E$, and $f \in \mathscr{F}$. Here $d$ denotes the metric of $X$.
It is clear that every member of an equicontinuous family is uniformly continuous.
Theorem 1.4. pointwise boundedness of $\mathscr{C}$ in a countable set [br723]
Theorem 1.4. pointwise boundedness of $\mathscr{C}$ in a countable set [br723]
If $\{ f_{n} \}$ is a pointwise bounded sequence of complex functions on a countable set $E$, then $\{ f_{n} \}$ has a subsequence $\{ f_{n_{k}} \}$ such that $\{ f_{n_{k}}(x) \}$ converges for every $x \in E$.
Theorem 1.5. compactness and uniform convergence implies equicontinuity [br724]
Theorem 1.5. compactness and uniform convergence implies equicontinuity [br724]
If $K$ is a compact metric space, if $f_{n} \in \mathscr{C}(K)$ for $n = 1, 2, 3, \dots$, and if $\{ f_{n} \}$ converges uniformly on $K$, then $\{ f_{n} \}$ is equicontinuous on $K$.
Theorem 1.6. [br725]
Theorem 1.6. [br725]
If $K$ is compact, if $f_{n} \in \mathscr{C}(K)$ for $n = 1, 2, 3, \dots$, and if $\{ f_{n} \}$ is pointwise bounded and equicontinuous on $K$, then
- $\{ f_{n} \}$ is uniformly bounded on $K$,
- $\{ f_{n} \}$ contains a uniformly convergent subsequence.